code: def __init__(self, to_dict=True) -> None:
      self._metrics = []
      self._metric_suffix = set()
      self._to_dict = to_dict
  
imports: from typing import Dict
  from transformers import EvalPrediction
  from transformers.trainer_utils import PredictionOutput
  import pandas
  import torch
  import numpy
  from typing import Union
  import json
  import logging
label_desc: Use image node_id 1 to create a new MetricEnsemble object from inherited base classes: object with example: obj = MetricEnsemble(to_dict)